Multi-hazard susceptibility prediction is an important component of disasters risk
management plan. An effective multi-hazard risk mitigation strategy includes assessing …

This study examines the use of snow avalanche susceptibility maps (SASMs) to identify
areas prone to avalanches and develop measures to mitigate the risk in the Province of …

Data-driven methods are commonly applied in avalanche hazard evaluation. However, few
studies have tapped into the relationship between the explanatory variables and avalanche …

A major challenge encountered in the development of systems exposed to weather
stressors, such as autonomous vehicles and unstaffed aerial vehicles, is to ensure their …

Snow-avalanches are responsible for loss of life and damage to infrastructure in
mountainous areas across the world. The present study aims to integrate traditional …

In this study, the relationship between the sustainable development goals (SDGs) and snow
avalanche susceptibility has been analyzed for the first time. Snow avalanche susceptibility …

The required time for producing snow avalanche maps is influenced by computation speed
of simulations. Commonly, integrating terrain assessment with dynamic flow simulation aids …

The frequency and intensity of dust storms in Iran has increased significantly in recent years.
This study identifies the sources of dust using hybrid algorithms–probability density-index of …

Snow avalanches is considered among the most dangerous natural disasters that cause
material damage but also dozens of deaths every year. The concerned countries have …

Abstract Our Avalanche Prediction Model utilizes machine learning to analyze weather and
climate data in order to provide users in the Northern California back-country with accurate …